1. Overview

This API allows storage, retrieval, update, and deletion of spatial data, including points, lines, polygons, and multi-polygons. It supports both single geometries and collections of polygons (multipolygons) .

Supported Geometry Types:

• Point – single coordinate \[longitude, latitude].
• Line (LineString) – multiple coordinates forming a path.
• Polygon – multiple coordinates forming a closed boundary.
• MultiPolygon – multiple polygons representing an area.

API DESIGNS

Points

Endpoint	Method	Action
/points/	GET	List all points
/points/{id}/	GET	Retrieve a single point
/points/	POST	Create a new point
/points/{id}/	PUT	Update entire point
/points/{id}/	DELETE	Delete point

Lines

Endpoint	Method	Action
/lines/	GET	List all lines
/lines/{id}/	GET	Retrieve a single line
/lines/	POST	Create a new line
/lines/{id}/	PUT	Update entire line
/lines/{id}/	DELETE	Delete line

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Polygons

Endpoint	Method	Action
/polygons/	GET	List all polygons
/polygons/{id}/	GET	Retrieve a single polygon
/polygons/	POST	Create a new polygon
/polygons/{id}/	PUT	Update entire polygon
/polygons/{id}/	DELETE	Delete polygon

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MultiPolygons

Endpoint	Method	Action
/multipolygons/	GET	List all multipolygons
/multipolygons/{id}/	GET	Retrieve a single multipolygon
/multipolygons/	POST	Create a new multipolygon
/multipolygons/{id}/	PUT	Update entire multipolygon
/multipolygons/{id}/	DELETE	Delete multipolygon

Future Scope

• If multiple users access the same location or pinpoint simultaneously, we can implement caching to reduce database load and improve response time. Additionally, a rate limiter can be used to prevent server overload from heavy requests.
• Currently, SQLite is used as the database. For large-scale production environments, it is recommended to use PostgreSQL or another database depending on the requirements.
• The platform can be redesigned or scaled according to future requirements. The current structure allows reusability of apps across multiple projects. Using Django helps solve the DRY (Don't Repeat Yourself) principle by enabling modular apps that can be reused efficiently in different projects.

Project Setup

1. Get the Project

   • Clone or download the project repository.

2. Open in Editor

   • Open the project folder in your preferred code editor (e.g., VS Code, PyCharm).

3. Activate Virtual Environment

   • On Windows:

     .venv\Scripts\activate

   • On macOS/Linux:

     source .venv/bin/activate

4. Install Dependencies

• pip install -r requirements.txt

5. Install Dependencies

• python manage.py makemigrations
• python manage.py migrate

6. Run the Server

• python manage.py runserver

7. Test APIs

• Open Postman.
• Import the provided collection: spatial_platform.postman_collection.
• Explore and test the APIs.